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SUMMARY:Python Machine Learning Fundamentals: Part 2 of 2
DESCRIPTION:This workshop introduces students to scikit-learn\, the popular machine learning library in Python\, as well as the auto-ML library built on top of scikit-learn\, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets. No theory instruction will be provided. \nPrerequisites: D-Lab’s Python Fundamentals introductory series or equivalent knowledge. \nWorkshop materials: https://github.com/dlab-berkeley/Python-Machine-Learning-Fundamentals \nSoftware Requirements: Installation Instructions for Python Anaconda \nIs Python Not working on your laptop?\nAttend the workshop anyway\, we can provide you with a cloud-based solution until you figure out the problems with your local installation.
URL:https://grad.berkeley.edu/event/python-machine-learning-fundamentals-part-2-of-2/
LOCATION:Online via Zoom
CATEGORIES:Professional Development Events
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